基于次用戶分級的PRP M/G/m排隊(duì)論頻譜切換模型
doi: 10.11999/JEIT171117
國家自然科學(xué)基金(61471076, 61601070),重慶市基礎(chǔ)與前沿研究計(jì)劃(cstc2015jcyjA40047, cstc2016jcyjA0455),重慶郵電大學(xué)博士啟動基金(A2015-16)
PRP M/G/m Queuing Theory Spectrum Handoff Model Based on Classified Secondary Users
The National Natural Science Foundation of China (61471076, 61601070), The Foundation and Advanced Research Program of Chongqing (cstc2015jcyjA40047, cstc2016 jcyjA0455), The Doctoral Start-up Fund of Chongqing University of Posts and Telecommunications (A2015-16)
-
摘要: 為滿足次用戶不同時(shí)延需求并提高信道利用率,該文提出一種基于次用戶分級的PRP M/G/m排隊(duì)論頻譜切換模型。首先,根據(jù)次用戶主要業(yè)務(wù)的時(shí)延需求不同,對次用戶進(jìn)行分級評價(jià),將次用戶分為時(shí)延敏感型和非時(shí)延敏感型用戶,時(shí)延敏感型次用戶具有更高的優(yōu)先級來接入信道。其次,采用PRP M/G/m排隊(duì)論來建立基于用戶分級的頻譜切換模型。同時(shí)推導(dǎo)和分析了該模型下不同優(yōu)先級次用戶擴(kuò)展數(shù)據(jù)傳輸時(shí)間,進(jìn)而提出了面向各級次用戶自適應(yīng)頻譜切換策略。仿真結(jié)果表明,相較于已有頻譜切換策略,該模型能有效降低次用戶切換時(shí)延以及擴(kuò)展數(shù)據(jù)傳輸時(shí)間,保證高優(yōu)先級次用戶的服務(wù)質(zhì)量,提升次用戶頻譜切換的綜合性能。
-
關(guān)鍵詞:
- 認(rèn)知無線電 /
- 頻譜切換 /
- 排隊(duì)論
Abstract: In order to meet different delay requirements of secondary users and improve the channel utilization, a PRP M/G/m queuing theory spectrum handoff model based on classified secondary user is proposed. Firstly, according to different delay requirements of the main service, secondary users are classified into delay-sensitive and non-delay-sensitive users. The delay-sensitive users have higher priority to access the channel. Secondly, PRP M/G/m queuing theory is adopted to establish the spectrum handoff model. Meanwhile, the extended data delivery time of secondary users with different priorities is deduced and analyzed. Then the adaptive spectrum handoff strategy for secondary users is proposed. Simulation results suggest that the proposed model can reduce the handoff delay and extended data delivery time, which can effectively ensure the QoS of high- priority secondary users and improve the overall performance.-
Key words:
- Cognitive Radio (CR) /
- Spectrum handoff /
- Queuing theory
-
KUMAR K, PRAKASH A, and TRIPATHI R. Spectrum handoff in cognitive radio networks: A classification and comprehensive survey[J]. Journal of Network and Computer Applications, 2016, 61(8): 161-188. doi: 10.1016/j.jnca.2015. 10.008. MITOLA J and MAGUIRE G Q. Cognitive radio: Making software radios more personal[J]. IEEE Personal Communications, 1999, 6(4): 13-18. doi: 10.1109/98.788210. HAYKIN S. Cognitive radio: Brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220. doi: 10.1109/JSAC. 2004.839380. WANG Beibei and LIU K J R. Advances in cognitive radio networks: A survey[J]. IEEE Journal of Selected Topics in Signal Processing, 2011, 5(1): 5-23. doi: 10.1109/JSTSP.2010. 2093210. CHRISTIAN I, MOH S, CHUNG I, et al. Spectrum mobility in cognitive radio networks[J]. IEEE Communications Magazine, 2012, 50(6): 114-121. doi: 10.1109/MCOM.2012. 6211495. SALAMEH O, TURCK K D, BRUNEEL H, et al. Analysis of secondary user performance in cognitive radio networks with reactive spectrum handoff[J]. Telecommunication System, 2017, 65(3): 1-12. doi: 10.1007/s11235-016-0250-7. WANG Lichun and WANG Chunwang. Analysis of reactive spectrum handoff in cognitive radio networks[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(10): 2016-2028. doi: 10.1109/JSAC.2012.121116. WU Yan, YANG Qinghai, LIU Xuefang, et al. Delay- constrained optimal transmission with proactive spectrum handoff in cognitive radio networks[J]. IEEE Transactions on Communications, 2016, 64(7): 2767-2779. doi: 10.1109/ TCOMM.2016.2561936. TAYEL A F, RABIA S I, and ABOUELSEOUD Y. An optimized hybrid approach for spectrum handoff in cognitive radio networks with non-identical channels[J]. IEEE Transactions on Communications, 2016, 64(11): 4487-4496. doi: 10.1109/TCOMM.2016.2607741. 馬彬, 包小敏, 謝顯中. 認(rèn)知無線網(wǎng)絡(luò)中基于混合頻譜切換的最優(yōu)目標(biāo)信道選擇算法[J]. 電子與信息學(xué)報(bào), 2017, 39(1): 31-37. doi: 10.11999/JEIT160268. MA Bin, BAO Xiaomin, and XIE Xianzhong. Optimal target channel selection algorithm based on hybrid spectrum handoffs in cognitive radio networks[J]. Journal of Electronics Information Technology, 2017, 39(1): 31-37. doi: 10.11999/ JEIT160268. WANG Lichun, WANG Chungwei, and CHANG Chungju. Modeling and analysis for spectrum handoffs in cognitive radio networks[J]. IEEE Transactions on Mobile Computing, 2012, 11(9): 1499-1513. doi: 10.1109/TMC.2011.155. ZAHED S, AWAN I, and CULLEN A. Analytical modeling for spectrum handoff decision in cognitive radio networks[J]. Simulation Modelling Practice and Theory, 2013, 38(1): 98-114. doi: 10.1016/j.simpat.2013.07.003. ZHANG Lei, SONG Tiecheng, WU Ming, et al. Traffic- adaptive proactive spectrum handoff stategy for graded secondary users in cognitive radio networks[J]. Chinese Journal of Electronics, 2015, 24(4): 844-851. doi: 10.1049/cje. 2015.10.030. ZAKARIYA A Y and RABIA S I. Analysis of an interruption-based priority for multi-class secondary users in cognitive radio networks[C]. IEEE International Conference on Communications, Kuala Lumpur, Malaysia, 2016: 1-6. doi: 10.1109/ICC.2016.7511542. 楊小龍, 譚學(xué)治, 關(guān)凱. 認(rèn)知無線電網(wǎng)絡(luò)中基于搶占式排隊(duì)論的頻譜切換模型[J]. 物理學(xué)報(bào), 2015, 64(10): 379-388. doi: 10.7498/aps.64.108403. YANG Xiaolong, TAN Xuezhi, and GUAN Kai. Spectrum handoff model based on preemptive queuing theory in cognitive radio networks[J]. Acta Physica Sinica, 2015, 64(10): 379-388. doi: 10.7498/aps.64.108403. ZHANG Yun, JIANG Tao, ZHANG Lei, et al. Analysis on the transmission delay of priority-based secondary users in cognitive radio networks[C]. International Conference on Wireless Communications and Signal Processing, Hangzhou, China, 2013: 1-6. doi: 10.1109/WCSP.2013.6677133. -
計(jì)量
- 文章訪問數(shù): 1496
- HTML全文瀏覽量: 173
- PDF下載量: 90
- 被引次數(shù): 0